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Usage of task and data parallelism for finding the lower boundary vectors in a stochastic-flow network
In a stochastic-flow network, a minimal system state vector under which the maximum flow of
the network from a source node to a destination node is equal to d is called a lower …
the network from a source node to a destination node is equal to d is called a lower …
An improved algorithm for reliability evaluation of flow networks
Many real-world systems such as power transmission and distribution systems, computers
and communication, social networks, and so on can be modeled as flow networks which …
and communication, social networks, and so on can be modeled as flow networks which …
MC-based simulation approach for two-terminal multi-state network reliability evaluation without knowing d-MCs
PC Chang - Reliability Engineering & System Safety, 2022 - Elsevier
A two-terminal multi-state network (TMSN) is a network (system) with multi-state subsystems
(arcs and nodes) and two terminals (source and sink nodes). In a TMSN, system reliability is …
(arcs and nodes) and two terminals (source and sink nodes). In a TMSN, system reliability is …
Hybrid flow-shop manufacturing network reliability optimization using genetic algorithm and absorbing Markov chain
In this study, we adopt a strategy of machine configuration to construct a reliable hybrid flow-
shop manufacturing system (HFSMS) with reworking and scrap** actions, in which the …
shop manufacturing system (HFSMS) with reworking and scrap** actions, in which the …
An Improved Vectorization Algorithm to Solve the d-MP Problem
The d-minimal path (d-MP) problem is to find all the system state vectors (SSV) under which
d units of data can be transmitted from a source node to a destination node in a stochastic …
d units of data can be transmitted from a source node to a destination node in a stochastic …
One-batch preempt deterioration-effect multi-state multi-rework network reliability problem and algorithms
A rework network is a distinct multi-state network that exists in many real-life industrial
manufacturing systems for fixing defective products using rework processes to improve the …
manufacturing systems for fixing defective products using rework processes to improve the …
Novel direct algorithm for computing simultaneous all-level reliability of multistate flow networks
WC Yeh - Reliability Engineering & System Safety, 2022 - Elsevier
Different types of networks, such as, Internet of Things, social networks, wireless sensor
networks, transportation networks, and 4g/5G serve to benefit and help our daily lives. The …
networks, transportation networks, and 4g/5G serve to benefit and help our daily lives. The …
An efficient parallel approach for binary-state network reliability problems
Networks are ubiquitous in modern applications, with reliability being a paramount
performance metric. While exact network reliability can be determined using implicit …
performance metric. While exact network reliability can be determined using implicit …
Simulation approaches for multi-state network reliability estimation: Practical applications
PC Chang - Simulation Modelling Practice and Theory, 2022 - Elsevier
In this study, simulation approaches for the reliability estimation of a multi-state network
(MSN) are developed; the approaches obviate the reliance on known capacity probability …
(MSN) are developed; the approaches obviate the reliance on known capacity probability …
Time-reliability optimization for the stochastic traveling salesman problem
WC Yeh - Reliability Engineering & System Safety, 2024 - Elsevier
This paper presents a novel approach to addressing the Stochastic Traveling Salesman
Problem (STSP), a classical problem in combinatorial optimization, by integrating travel time …
Problem (STSP), a classical problem in combinatorial optimization, by integrating travel time …